Literature DB >> 29329958

Contact tracing for the control of infectious disease epidemics: Chronic Wasting Disease in deer farms.

Chris Rorres1, Maria Romano2, Jennifer A Miller3, Jana M Mossey4, Tony H Grubesic5, David E Zellner6, Gary Smith7.   

Abstract

Contact tracing is a crucial component of the control of many infectious diseases, but is an arduous and time consuming process. Procedures that increase the efficiency of contact tracing increase the chance that effective controls can be implemented sooner and thus reduce the magnitude of the epidemic. We illustrate a procedure using Graph Theory in the context of infectious disease epidemics of farmed animals in which the epidemics are driven mainly by the shipment of animals between farms. Specifically, we created a directed graph of the recorded shipments of deer between deer farms in Pennsylvania over a timeframe and asked how the properties of the graph could be exploited to make contact tracing more efficient should Chronic Wasting Disease (a prion disease of deer) be discovered in one of the farms. We show that the presence of a large strongly connected component in the graph has a significant impact on the number of contacts that can arise.
Copyright © 2017 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Chronic Wasting Disease; Contact tracing; Directed graphs; Strongly connected components

Mesh:

Year:  2017        PMID: 29329958     DOI: 10.1016/j.epidem.2017.12.006

Source DB:  PubMed          Journal:  Epidemics        ISSN: 1878-0067            Impact factor:   4.396


  3 in total

Review 1.  Applications of machine learning and artificial intelligence for Covid-19 (SARS-CoV-2) pandemic: A review.

Authors:  Samuel Lalmuanawma; Jamal Hussain; Lalrinfela Chhakchhuak
Journal:  Chaos Solitons Fractals       Date:  2020-06-25       Impact factor: 5.944

2.  Is There a Place for Responsible Artificial Intelligence in Pandemics? A Tale of Two Countries.

Authors:  Ramzi El-Haddadeh; Adam Fadlalla; Nitham M Hindi
Journal:  Inf Syst Front       Date:  2021-05-06       Impact factor: 5.261

3.  Can genetic assignment tests provide insight on the influence of captive egression on the epizootiology of chronic wasting disease?

Authors:  William L Miller; W David Walter
Journal:  Evol Appl       Date:  2019-12-09       Impact factor: 5.183

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.